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20232026
most citedLogPrécis: Unleashing Language Models for Automated Malicious Log Analysis

33 citations · 36 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.CR2026

Improving Generalization on Cybersecurity Tasks with Multi-Modal Contrastive Learning

Jianan Huang, Rodolfo V. Valentim, Luca Vassio +4

The use of ML in cybersecurity has long been impaired by generalization issues: Models that work well in controlled scenarios fail to maintain performance in production. The root c…

cs.CR2026

Towards Agentic Honeynet Configuration

Federico Mirra, Matteo Boffa, Idilio Drago +2

Honeypots are deception systems that emulate vulnerable services to collect threat intelligence. While deploying many honeypots increases the opportunity to observe attacker behavi…

cs.CR2025

CyberSleuth: Autonomous Blue-Team LLM Agent for Web Attack Forensics

Stefano Fumero, Kai Huang, Matteo Boffa +3

Post-mortem analysis of compromised systems is a key aspect of cyber forensics, today a mostly manual, slow, and error-prone task. Agentic AI, i.e., LLM-powered agents, is a promis…

cs.CR2025

ChamaleoNet: Programmable Passive Probe for Enhanced Visibility on Erroneous Traffic

Zhihao Wang, Alessandro Cornacchia, Andrea Bianco +4

Traffic visibility remains a key component for management and security operations. Observing erroneous traffic, i.e., unanswered requests or error messages, is fundamental to detec…

cs.CR2023★ 33 cited

LogPrécis: Unleashing Language Models for Automated Malicious Log Analysis

Matteo Boffa, Rodolfo Vieira Valentim, Luca Vassio +4

The collection of security-related logs holds the key to understanding attack behaviors and diagnosing vulnerabilities. Still, their analysis remains a daunting challenge. Recently…